Can Shared Control Improve Overtaking Performance? Combining Human and Automation Strengths for a Safer Maneuver.

arbitration automated driving human–machine cooperation human–machine interface overtaking safety shared control

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
23 Nov 2022
Historique:
received: 17 10 2022
revised: 08 11 2022
accepted: 18 11 2022
entrez: 11 12 2022
pubmed: 12 12 2022
medline: 15 12 2022
Statut: epublish

Résumé

The Shared Control (SC) cooperation scheme, where the driver and automated driving system control the vehicle together, has been gaining attention through the years as a promising option to improve road safety. As a result, advanced interaction methods can be investigated to enhance user experience, acceptance, and trust. Under this perspective, not only the development of algorithms and system applications are needed, but it is also essential to evaluate the system with real drivers, assess its impact on road safety, and understand how drivers accept and are willing to use this technology. In this sense, the contribution of this work is to conduct an experimental study to evaluate if a previously developed shared control system can improve overtaking performance on roads with oncoming traffic. The evaluation is performed in a Driver-in-the-Loop (DiL) simulator with 13 real drivers. The system based on SC is compared against a vehicle with conventional SAE-L2 functionalities. The evaluation includes both objective and subjective assessments. Results show that SC proved to be the best solution for assisting the driver during overtaking in terms of safety and acceptance. The SC's longer and smoother control transitions provide benefits to cooperative driving. The System Usability Scale (SUS) and the System Acceptance Scale (SAS) questionnaire show that the SC system was perceived as better in terms of usability, usefulness, and satisfaction.

Identifiants

pubmed: 36501792
pii: s22239093
doi: 10.3390/s22239093
pmc: PMC9736517
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : ECSEL Joint-Undertaking (PRYSTINE)
ID : 783190
Organisme : European Union's Horizon 2020 (HADRIAN)
ID : 875597

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Auteurs

Mauricio Marcano (M)

TECNALIA, Basque Research and Technology Alliance, 48160 Derio, Spain.

Fabio Tango (F)

Centro Ricerche Fiat, 10043 Orbassano, Italy.

Joseba Sarabia (J)

TECNALIA, Basque Research and Technology Alliance, 48160 Derio, Spain.
Faculty of Engineering, University of the Basque Country UPV/EHU, 48013 Bilbao, Spain.

Silvia Chiesa (S)

RE:Lab, 42122 Reggio Emilia, Italy.

Joshué Pérez (J)

TECNALIA, Basque Research and Technology Alliance, 48160 Derio, Spain.

Sergio Díaz (S)

TECNALIA, Basque Research and Technology Alliance, 48160 Derio, Spain.

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Classifications MeSH